[ncl-talk] Emphasizing statistically significant data in contour plots

[David Brown]

There is a resource called cnFillBackgroundColor, which is set by default
to "transparent". This allows you to control whether a fill pattern
completely covers what is beneath it. Check out
http://www.ncl.ucar.edu/Applications/coneff.shtml coneff_14.ncl for an
example of pattern fill over solid fill.
 -dave


On Wed, Aug 6, 2014 at 12:00 PM, WU, Cheuk Kuen <hkson at connect.hku.hk>
wrote:

> Hi,
>
> I also have another question for my MJO study plots apart from the panel
> plots. But it is quite different and I choose to start a new post.
>
> I have done the t-test for my data to test their significance. I have also
> calculated the critical t-values for each grid by using cdft_t function.
> For vectors, I plot all the arrows in gray colour first. Then I do another
> plot in which all insignificant data are set to missing values (by using
> ndtooned, idx and onedtond). The arrows for significant data are black in
> colour. The two plots are then overlaid. It is done well for the vector
> plot.
>
> For contour plot, like geopotential height data, I first plot all data
> with cnFillOn=True and cnLinesOn=False. Again I do another plot and the
> insignificant data become missing. The significant data are plotted with
> both cnFillOn and cnLinesOn set to true, and the two plots are overlaid, so
> that the significant data can be emphasized with the contour lines.
> However, I realised that this should not be a good method because some data
> WITHIN the contour fill may be significant but cannot be emphasized.
>
> I think of using cnFillPattern. For example, I want there will be dots
> over all the significant data. I have not yet tried this, but I wonder that
> whether the fill patterns have background colour (e.g. white)? If yes, they
> will cover my original cnFill after overlaying the plots. I want the fill
> colours of all data can still be seen with dots over the significant data.
> Is this method possible? Or do you have even better suggestions? Thank you!
>
> John
>
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